Free AI platform comparison

NVIDIA Build (NIM API) vs SiliconFlow: Complete Comparison

NVIDIA Build (NIM API) 和 硅基流动 (SiliconFlow) 深度对比:免费额度、API 价格、模型能力、中国大陆可用性,帮你选最合适的 AI 工具

Quick decision

NVIDIA Build (NIM API) vs SiliconFlow: Complete Comparison: pricing, free API, and limits

Quick answer: choose NVIDIA Build (NIM API) if its free tier, model family, or ecosystem fits your app better; choose SiliconFlow if it gives better free API credits, pricing, or access for your workflow. This comparison focuses on free tier, API pricing, limits, setup, and practical alternatives.

Free tierNVIDIA Build (NIM API): Unlimited (40 RPM rate limit) · SiliconFlow: Free model access varies by model; RPM/TPM and context limits should be checked in the console
Free API无限制(已取消额度限制) vs ¥14
Best checkCredits, rate limits, setup friction
DecisionTest both if rank, latency, or access matters
👑NVIDIA Build (NIM API)

NVIDIA Build (NIM API)

80pts
1 wins
VS
SiliconFlow

SiliconFlow

65pts
0 wins

🏆 Overall, NVIDIA Build (NIM API) offers more free value (1/6 categories)

📊 Side-by-Side

Category
NVIDIA Build (NIM API)
SiliconFlow
Free Tier
✅ Unlimited (40 RPM rate limit)
✅ Free model access varies by model; RPM/TPM and context limits should be checked in the console
Free API
✅ 无限制(已取消额度限制)
✅ ¥14
Rate Limit
40 RPM(可申请提升到 200 RPM)
Varies by model/account (RPM, TPM, context, and queue limits)
Open Source
❌ No
❌ No
Free Models
10
2
GitHub Stars
-
-

🧠 Model Details

NVIDIA Build (NIM API)10 models
MiniMax M2.7
📐 128k⚡ 40 RPM
230B params, coding/reasoning/office all-rounder
Kimi K2.5
📐 1000k⚡ 40 RPM
Moonshot native multimodal agentic model, 15T tokens training, 1M context, top Chinese ability
GLM-5.1
📐 128k⚡ 40 RPM
Zhipu's latest flagship, GLM-5 upgrade, optimized for agentic coding/long-horizon reasoning. GLM-5 deprecated 2026-04-20
DeepSeek V3.2
📐 128k⚡ 40 RPM
671B MoE, coding champion
DeepSeek R1
📐 64k⚡ 40 RPM
671B MoE, reasoning champion
Gemma 4 31B-IT
📐 128k⚡ 40 RPM
Google's latest open source, strong agentic capability, runs on consumer hardware
Nemotron-3-Super-120B
📐 1000k⚡ 40 RPM
NVIDIA's own flagship, hybrid Mamba-Transformer MoE, 1M context, 7.5x throughput vs Qwen3.5-122B
Llama 4 Maverick
📐 128k⚡ 40 RPM
Meta's latest open source LLM
Qwen 3.5
📐 128k⚡ 40 RPM
Alibaba Qwen, native multimodal, 397B params with only 17B active, extremely efficient
Step 3.5 Flash
📐 128k⚡ 40 RPM
StepFun, extremely fast
SiliconFlow2 models
DeepSeek-V3 (hosted)
📐 64k⚡ Free-tier RPM/TPM varies
Hosted open model; verify free/zero-price availability, RPM, TPM, context, and queue limits in the console
Qwen2.5-72B (hosted)
📐 32k⚡ Free-tier RPM/TPM varies
Qwen-family hosted model; availability, free quota, context, and rate limits can change by model version

🎯 Which should you choose?

Choose NVIDIA Build (NIM API) if…

you want Unlimited (40 RPM rate limit) on the free tier, plus 无限制(已取消额度限制) for API tests.

Choose SiliconFlow if…

you want Free model access varies by model; RPM/TPM and context limits should be checked in the console on the free tier, plus ¥14 for API tests.

FAQ

Which is better, NVIDIA Build (NIM API) or SiliconFlow?

NVIDIA Build (NIM API) scores higher in this free-tier comparison because it wins more of the measured categories. Still, the best choice depends on your exact needs: free chat access, API credits, open-source models, or rate limits.

Does NVIDIA Build (NIM API) have a free tier?

Yes. NVIDIA Build (NIM API) lists Unlimited (40 RPM rate limit) for free users.

Does SiliconFlow have a free tier?

Yes. SiliconFlow lists Free model access varies by model; RPM/TPM and context limits should be checked in the console for free users.

Which one is better for API experiments?

NVIDIA Build (NIM API) offers 无限制(已取消额度限制); SiliconFlow offers ¥14. Choose the option with enough credits and rate limits for your prototype.

Source snapshot

Data source: yangmao.ai provider YAML tracker plus curated comparison notes. Official dashboards can change credits, limits, model availability, and pricing without notice; verify in the provider console before production.

yangmao.ai comparison slug
nvidia-build-vs-siliconflow
NVIDIA Build (NIM API) source
https://build.nvidia.com/
SiliconFlow source
https://siliconflow.cn
Dataset freshness
NVIDIA Build (NIM API): 2026-06-15 · SiliconFlow: 2026-06-15
Decision data
Free tier, API credits, rate limits, model list, China access notes, and curated comparison dimensions from the yangmao.ai provider tracker.

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